0
votes
0answers
35 views

Compare LMM GLMM (generalised linear mixed model, negative binomial) by numerical measure (AIC BIC, cross validation, R² squared) for model validation

How to compare results of generalized linear mixed model (GLMM, negative binomial) with a log transformed linear mixed model (multilevel, hierarchical) . I have a data set (counts), which is nested. ...
1
vote
1answer
103 views

Binomial GLMM: Model validation & ceiling effect

My data has a binary response acc(correct/incorrect), one continuous predictor score, three categorical predictors (...
3
votes
0answers
85 views

Validation of mixed-effect models

I want to use linear mixed effect model for a set of data. After using lme4 package and lmer() function and fitting model, I want to validate my model for other ...
2
votes
0answers
74 views

What tasks should I do when performing a model validation?

I have a mixed model built using Data A below, and now I want to validate the model using Data B. What should I do to actually "validate" the model? ...
0
votes
1answer
274 views

What is a good academic citation for cross-validation?

I performed a holdout cross-validation analysis on a multilevel model fit. The purpose of this was to show that we didn't have a problem with over-fitting, for which it worked just fine. Now we are ...
4
votes
2answers
955 views

Variance explained of a mixed effects model in a new data set

I'm using the following function to calculate Edwards R^2 (formula 19 in Edwards et al. 2008) of a mixed effects model (I hope the implementation is correct): ...